SAN JOSE, CA--(Marketwire - Mar 18, 2013) - GTC 2013-- The growing ranks of programmers using the Python open-source language can now take full advantage of GPU acceleration for their high performance ...

As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey ...

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

An end-to-end data science ecosystem, open source RAPIDS gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware Building machine learning models is a repetitive process.

This is a sponsored article brought to you by PNY Technologies. In today’s data-driven world, data scientists face mounting ...

While the eyes of the tech world were firmly affixed on Nvidia last week for its GTC event and the unveiling of its new Groq ...

Nvidia has placed Warp under an Apache 2 license. The Python framework is used for performance-hungry physical simulations, data generation and spatial computing. It compiles Python functions just in ...

Nvidia has released a new mathematical Python library specialized for Cuda-X. It offers direct, Python-like access to the mathematical core operations of Cuda-X without having to use additional C/C++ ...

Nvidia's $26B open source bet ensures 90% of AI research runs on CUDA—CrowdStrike provides the security layer for enterprise ...